Ultralight vector dark matter search using data from the KAGRA O3GK run

Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating length changes in the arm cavities. In this context, KAGRA has a unique feature due to differing compositions of its mirrors, enhancing the signal of vector DM in the length change in the auxiliary channels. Here we present the result of a search for U(1)B−L gauge boson DM using the KAGRA data from auxiliary length channels during the first joint observation run together with GEO600. By applying our search pipeline, which takes into account the stochastic nature of ultralight DM, upper bounds on the coupling strength between the U(1)B−L gauge boson and ordinary matter are obtained for a range of DM masses. While our constraints are less stringent than those derived from previous experiments, this study demonstrates the applicability of our method to the lower-mass vector DM search, which is made difficult in this measurement by the short observation time compared to the auto-correlation time scale of DM

The impact of collective optimism on new venture creation and growth: A social contagion perspective

Social contagion research suggests that individual decision making is shaped by collective, social processes. We extend the entrepreneurial optimism literature by arguing that collective optimism-the shared, positive expectations about future outcomes-is salient to key entrepreneurial outcomes. We test our position by examining how fluctuations in U.S. collective entrepreneurial optimism influence venture creation and growth using 1993-2010 NFIB entrepreneurial optimism data. Results indicate that collective entrepreneurial optimism exhibits a curvilinear relationship with venture creation and growth, which is moderated by environmental dynamism. We validate the NFIB measure by constructing an alternative measure of collective entrepreneurial optimism using media reports

The role of charismatic rhetoric in crowdfunding: An examination with computer-Aided text analysis

Purpose - Social entrepreneurs often make public appeals for funding to investors who are motivated by nonfinancial considerations. This emerging research context is an opportunity for researchers to expand the bounds of entrepreneurship theory. To do so, we require appropriate research tools. In this chapter, we show how computer-Aided text analysis (CATA) can be applied to advance social entrepreneurship research. We demonstrate how CATA is well suited to analyze the public appeals for resources made by entrepreneurs, provide insight into the rationale of social lenders, and overcome challenges associated with traditional survey methods. © 2014 by Emerald Group Publishing Limited

What Doesn’T Get Measured Does Exist: Improving The Accuracy Of Computer-Aided Text Analysis

Computer-aided text analysis (CATA) is a form of content analysis that enables the measurement of constructs by processing text into quantitative data based on the frequency of words. CATA has been proposed as a useful measurement approach with the potential to lead to important theoretical advancements. Ironically, while CATA has been offered to overcome some of the known deficiencies in existing measurement approaches, we have lagged behind in regard to assessing the technique’s measurement rigor. Our article addresses this knowledge gap and describes important implications for past as well as future research using CATA. First, we describe three sources of measurement error variance that are particularly relevant to studies using CATA: transient error, specific factor error, and algorithm error. Second, we describe and demonstrate how to calculate measurement error variance with the entrepreneurial orientation, market orientation, and organizational ambidexterity constructs, offering evidence that past substantive conclusions have been underestimated. Third, we offer best-practice recommendations and demonstrate how to reduce measurement error variance by refining existing CATA measures. In short, we demonstrate that although measurement error variance in CATA has not been measured thus far, it does exist and it affects substantive conclusions. Consequently, our article has implications for theory and practice, as well as how to assess and minimize measurement error in future CATA research with the goal of improving the accuracy of substantive conclusions

Third-party signals in crowdfunded microfinance: the role of microfinance institutions

Crowdfunded microfinance research has routinely examined how campaign characteristics drive funding to crowdfunding campaigns but has neglected to examine the critical role of the microfinance institution (MFI). We leverage signaling theory to contend that entrepreneurs’ MFI affiliation is a salient third-party signal that shapes the performance of their crowdfunding campaign and examine how the financial and social performance of MFIs drive campaign funding. Our examination of 220,649 loans paired 173 MFIs supports our arguments. We provide insight into the importance of third-party signals in crowdfunding and into how investors seek to balance social motives with financial concerns in crowdfunded microfinance

The power of positivity? The influence of positive psychological capital language on crowdfunding performance

We extend the entrepreneurship literature to include positive psychological capital — an individual or organization\u27s level of psychological resources consisting of hope, optimism, resilience, and confidence — as a salient signal in crowdfunding. We draw from the costless signaling literature to argue that positive psychological capital language usage enhances crowdfunding performance. We examine 1726 crowdfunding campaigns from Kickstarter, finding that entrepreneurs conveying positive psychological capital experience superior fundraising performance. Human capital moderates this relationship while social capital does not, suggesting that costly signals may, at times, enhance the influence of costless signals. Post hoc analyses suggest findings generalize across crowdfunding types, but not to IPOs

The power of positivity? The influence of positive psychological capital language on crowdfunding performance

We extend the entrepreneurship literature to include positive psychological capital — an individual or organization’s level of psychological resources consisting of hope, optimism, resilience, and confidence — as a salient signal in crowdfunding. We draw from the costless signaling literature to argue that positive psychological capital language usage enhances crowdfunding performance. We examine 1,726 crowdfunding campaigns from Kickstarter, finding that entrepreneurs conveying positive psychological capital experience superior fundraising performance. Human capital moderates this relationship while social capital does not, suggesting that costly signals may, at times, enhance the influence of costless signals. Post hoc analyses suggest findings generalize across crowdfunding types, but not to IPOs

Narcissistic Rhetoric And Crowdfunding Performance: A Social Role Theory Perspective

Drawing from clinical and organizational narcissism research, we develop a novel measure of narcissistic rhetoric, investigating its prevalence in a sample of 1863 crowdfunding campaigns. An experiment using 1800 observations further validates our measure and confirms our hypothesized inverted-U relationship between narcissistic rhetoric and crowdfunding performance. Leveraging social role theory, we explore sex, sexual orientation, and race as potential moderators of this relationship. Moderation tests reveal LGBTQ entrepreneurs generally yield greater performance when using narcissistic rhetoric than heterosexuals while racial minorities underperform Caucasians using narcissistic rhetoric. Our findings suggest successful crowdfunding campaigns must balance narcissistic rhetoric with entrepreneurs’ perceived social roles